Entry-Level Remote Data Engineer – Data Entry & Analytics – $70‑80k Annual Salary – arenaflex
About arenaflex
arenaflex is a global leader in streaming entertainment, delivering premium television series, movies, documentaries, and original content to more than 200 million paid subscribers across 190+ countries. With a relentless focus on innovation, arenaflex constantly redefines how stories are created, distributed, and experienced on a massive scale. Our mission is to engage the world by harnessing data‑driven insights that power every decision—from content acquisition to personalized recommendations. As a data‑centric organization, we rely on world‑class Data Engineers to build the pipelines, platforms, and tools that turn raw information into actionable intelligence.
Role Overview
We are seeking a motivated, entry‑level Data Engineer (L5) to join our Remote Data Engineering team. This role is perfect for recent graduates or early‑career professionals who are eager to dive into large‑scale data processing, develop robust data pipelines, and collaborate with cross‑functional teams to drive product innovation. The position is fully remote, with occasional visits to our Los Gatos, California hub, and offers a competitive annual salary of $70‑80 k.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines that ingest, transform, and load data from diverse sources into our central data lake.
- Collaborate with product, finance, content, and studio teams to understand data requirements and translate business needs into technical specifications.
- Write clean, efficient code in at least one major programming language (Java, Scala, or Python) and develop SQL queries for data extraction and analysis.
- Implement data quality checks, monitoring, and alerting mechanisms to ensure the reliability and accuracy of data flows.
- Assist senior engineers in building real‑time data processing services using technologies such as Apache Flink, Apache Spark, or similar frameworks.
- Participate in code reviews, contribute to documentation, and uphold best practices for data engineering and software development.
- Support the creation of data visualizations and dashboards that enable stakeholders to explore metrics and make data‑informed decisions.
- Engage in continuous learning, staying current with emerging data technologies, cloud platforms, and industry trends.
Essential Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical field.
- Strong foundation in programming concepts and proficiency in at least one language (Java, Scala, or Python).
- Basic understanding of relational databases and ability to write SQL queries for data manipulation.
- Familiarity with data structures, algorithms, and software engineering principles.
- Demonstrated analytical mindset with a keen eye for detail and data integrity.
- Excellent written and verbal communication skills, with the ability to convey technical concepts to non‑technical audiences.
- Self‑motivated, adaptable, and comfortable working in a fast‑paced, ambiguous environment.
Preferred Qualifications
- Internship or project experience building data pipelines, ETL processes, or working with big‑data tools.
- Exposure to cloud platforms (AWS, GCP, or Azure) and services such as S3, Redshift, BigQuery, or Dataflow.
- Knowledge of streaming data frameworks (e.g., Apache Flink, Kafka Streams) and batch processing engines (e.g., Spark).
- Experience with version control systems (Git) and collaborative development workflows.
- Familiarity with data modeling, schema design, and data warehousing concepts.
- Passion for media, entertainment, or content recommendation systems.
Core Skills & Competencies
- Technical Acumen: Ability to write production‑grade code, debug complex pipelines, and optimize performance.
- Problem‑Solving: Creative approach to troubleshooting data anomalies and designing resilient solutions.
- Collaboration: Strong teamwork orientation; comfortable partnering with product managers, analysts, and data scientists.
- Documentation: Commitment to thorough documentation and knowledge sharing to foster a learning culture.
- Adaptability: Willingness to pivot quickly as priorities shift and new challenges emerge.
- Curiosity: Eagerness to explore emerging data technologies and propose innovative improvements.
Career Development & Learning Opportunities
arenaflex invests heavily in the growth of its people. As a junior Data Engineer, you will have access to:
- Mentorship from senior engineers and data architects who guide your technical development.
- Structured learning paths covering cloud services, big‑data processing, and machine‑learning pipelines.
- Internal hackathons and innovation days where you can prototype new ideas and showcase your work.
- Tuition reimbursement for relevant certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
- Clear promotion tracks from L5 (entry‑level) to senior and lead engineering roles, with regular performance reviews.
Work Environment & Culture at arenaflex
Our culture is built on freedom, responsibility, and a relentless pursuit of excellence. At arenaflex you will experience:
- Fully remote work flexibility, with a supportive infrastructure for collaboration across time zones.
- A culture of candid feedback—both giving and receiving—encouraging continuous improvement.
- Cross‑functional teams that value diverse perspectives and empower individuals to own projects end‑to‑end.
- Regular virtual “coffee chats,” team‑building events, and occasional in‑person meet‑ups in Los Gatos to strengthen bonds.
- An inclusive environment where every voice is heard, and innovation thrives.
Compensation, Benefits & Perks
arenaflex offers a competitive total rewards package designed to support your health, financial security, and personal well‑being:
- Salary: Annual base pay of $70‑80 k, with the flexibility to allocate a portion toward investment options.
- Health & Wellness: Comprehensive medical, dental, and vision plans, plus mental‑health resources and wellness stipends.
- Retirement: 401(k) plan with company match, and an employee stock purchase program.
- Paid Time Off: 35 days of accrued PTO for full‑time employees, plus flexible holidays and sick leave.
- Family Benefits: Parental leave, adoption assistance, and flexible work arrangements to support work‑life balance.
- Learning & Development: Access to online courses, conferences, and a generous education allowance.
- Additional Perks: Employee assistance programs, disability insurance, and a vibrant internal community of interest groups.
Application Process
Ready to launch your data engineering career with arenaflex? Follow these steps:
- Review the official job posting on our careers portal to confirm eligibility.
- Prepare the required documents: a copy of your degree certificate with transcripts, a passport‑size photograph, and a digital signature.
- Complete the online application form, attaching the documents listed above.
- Submit your application and await a confirmation email with next steps.
- If selected, you will participate in a series of interviews focusing on technical skills, problem‑solving, and cultural fit.
Join arenaflex – Shape the Future of Entertainment
If you are passionate about data, love solving complex problems, and want to be part of a company that is reshaping how the world experiences entertainment, arenaflex is the place for you. Our teams are driven by curiosity, creativity, and a shared commitment to delivering exceptional experiences to millions of viewers worldwide. Take the next step in your career and help us turn data into the stories that inspire the world.